Applied statistics in agricultural, biological, and environmental sciences / Barry Glaz and Kathleen M. Yeater, editors.

Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career....

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Bibliographic Details
Online Access: Full Text (via Wiley)
Other Authors: Glaz, Barry (Editor), Yeater, Kathleen M. (Editor)
Format: eBook
Language:English
Published: [Madison, Wisconsin] : American Society of Agronomy : Crop Science Society of America : Soil Science Society of America, 23 August 2018.
Subjects:
Table of Contents:
  • Errors in Statistical Decision Making / Kimberly Garland Campbell
  • Analysis of Variance and hypothesis testing / Marla S. McIntosh
  • Blocking Principles for Biological Experiments / Michael D. Casler
  • Power and Replication
  • Designing Powerful Experiments / Michael D. Casler
  • Multiple Comparison Procedures: The Ins and Outs / David J. Saville
  • Linear Regression Techniques / Christel Richter and Hans-Peter Piepho
  • Analysis and Interpretation of Interactions of Fixed and Random Effects / Mateo Vargas, Barry Glaz, Jose Crossa and Alex Morgounov
  • The Analysis of Combined Experiments / Philip M. Dixon, Kenneth J. Moore, and Edzard van Santen
  • Analysis of Covariance / Kevin S. McCarter
  • Analysis of Repeated Measures for the Biological and Agricultural Sciences / Salvador A. Gezan and Melissa Carvalho
  • The Design and Analysis of Long-term Rotation Experiments / Roger William Payne
  • Spatial Analysis of Field Experiments / Juan Burgueño
  • Augmented Designs-Experimental Designs in which All Treatments are not Replicated / Juan Burgueño, José Crossa, Francisco Rodríguez, and Kathleen M. Yeater
  • Multivariate Methods for Agricultural Research / Kathleen M. Yeater and María B. Villamil
  • Nonlinear Regression Models and Applications / Fernando Miguez, Sotirios Archontoulis and Hamze Dokoohaki
  • Analysis of Non-Gaussian Data / Walter W. Stroup
  • A Statistical Fable. The Story of a Grumpy Ox / Barry Glaz.